colomi
0eb61f3e60
包含： - hair_service_sd: 换发型/换发色算法服务 (端口 8801) - photo_service: LoRA 训练调度服务 (端口 32678) - stable-diffusion-webui: SD WebUI 推理服务 (端口 57860) - kohya_ss_home: 训练环境代码 - meidaojia: 监控测试脚本 - setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查) - start_all_services.sh: 启动3个服务 - configure.ini.template: 路径模板化 (BASE_DIR自动推导) - conda_envs/py310.yml: py310 环境定义 大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除， 由网盘单独上传。
43 lines
1.4 KiB
Python
Executable File
43 lines
1.4 KiB
Python
Executable File
from modules import scripts, scripts_postprocessing, shared
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class ScriptPostprocessingForMainUI(scripts.Script):
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def __init__(self, script_postproc):
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self.script: scripts_postprocessing.ScriptPostprocessing = script_postproc
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self.postprocessing_controls = None
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def title(self):
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return self.script.name
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def show(self, is_img2img):
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return scripts.AlwaysVisible
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def ui(self, is_img2img):
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self.postprocessing_controls = self.script.ui()
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return self.postprocessing_controls.values()
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def postprocess_image(self, p, script_pp, *args):
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args_dict = dict(zip(self.postprocessing_controls, args))
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pp = scripts_postprocessing.PostprocessedImage(script_pp.image)
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pp.info = {}
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self.script.process(pp, **args_dict)
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p.extra_generation_params.update(pp.info)
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script_pp.image = pp.image
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def create_auto_preprocessing_script_data():
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from modules import scripts
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res = []
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for name in shared.opts.postprocessing_enable_in_main_ui:
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script = next(iter([x for x in scripts.postprocessing_scripts_data if x.script_class.name == name]), None)
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if script is None:
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continue
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constructor = lambda s=script: ScriptPostprocessingForMainUI(s.script_class())
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res.append(scripts.ScriptClassData(script_class=constructor, path=script.path, basedir=script.basedir, module=script.module))
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return res
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